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Duration 21 hours
Course Outline
Advanced GNS3 Architecture
- Overview of GNS3 architecture for distributed deployment scenarios.
- Optimizing performance for GNS3 servers and GNS3 VMs.
- Managing multiple projects and facilitating collaborative workflows.
Network Automation with Python and Ansible
- Foundations of automation in network engineering.
- Development and deployment of automation scripts within GNS3.
- Automating router and switch configurations using Ansible playbooks.
- Validating network state and compliance through automated checks.
Docker Integration in GNS3
- Installation and configuration of Docker containers inside GNS3.
- Leveraging prebuilt Docker appliances for services such as web servers, DNS, and Linux utilities.
- Developing custom Docker containers for specific network testing needs.
- Emulating microservices and service chaining across GNS3 topologies.
Cloud and Hybrid Lab Integration
- Designing hybrid environments by combining GNS3 with public cloud resources.
- Establishing connectivity between GNS3 and AWS, Azure, or GCP using VPN and tunneling techniques.
- Deploying cloud-based endpoints and integrating them with simulated local networks.
- Addressing security and access control considerations in hybrid topologies.
Multi-Vendor Testing and Simulation
- Running and managing VMs from multiple vendors, including Cisco, Juniper, and Palo Alto.
- Utilizing a mix of QEMU, IOU/IOL, and VirtualBox appliances within the same environment.
- Employing traffic generation and application emulation for interoperability testing.
CI/CD and Advanced Lab Automation
- Integrating GNS3 with Git and CI pipelines for version control and automated testing.
- Automating the deployment and rollback of network topologies.
- Controlling GNS3 instances from external scripts via REST APIs.
Use Cases and Best Practices
- Structuring labs for effective pre-deployment validation.
- Documenting network behavior and configuration states.
- Creating reusable lab templates and efficient team workflows.
Summary and Next Steps
Requirements
- Strong proficiency in creating GNS3 topologies and configuring network devices.
- Functional knowledge of either Python or Ansible.
- Basic understanding of containerization concepts and cloud infrastructure fundamentals.
Target Audience
- Senior network engineers and DevNet specialists.
- Engineers responsible for connecting GNS3 with automation frameworks such as Ansible and Python.
- Professionals exploring the use of Dockerized services in virtual lab environments.
- Advanced users developing hybrid cloud labs or simulating multi-vendor network scenarios.
Testimonials (1)
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